Learning Coach - Data Analyst
Lifetime Group
- London, England, United Kingdom
- London, England, United Kingdom
About
Full training for new coaches and support to achieve teaching qualification CPD to support your occupational expertise and continuous professional development 25 days annual leave (rising with service) Additional day leave for your birthday Holiday purchase scheme Flexible working & flexi time options Early finish for the end of your week Health cash plan Virtual GP Curated wellbeing package Enhanced sickness pay Company match pension up to 5% Life assurance Enhanced family benefits package Religious bank holiday swap Long service recognition and reward Quarterly reward and recognition awards What will you be doing?
Conducting learner visits remotely, in most cases for many of the UKs best loved names within the industry, coaching learners on the knowledge skills and behaviours they need to achieve their apprenticeship standard. What will you bring to the role?
Experience coaching, training or assessing within apprenticeships or vocational learning. Strong working knowledge of data analysis techniques, including data collection, cleansing, modelling and interpretation. Proficiency with analytical tools such as Excel, SQL, and ideally Power BI / Python / R. An understanding of advanced analysis techniques such as regression modelling and time series analysis, with the ability to explain and interpret model performance through p-values, R-squared, and other appropriate metrics. Assessor qualification (TAQA/CAVA) or willingness to work towards. Ability to support apprentices toward meeting gateway and EPA requirements. Ability to manage a caseload independently while meeting quality and compliance standards. It would be great if you had:
Teaching qualification (L3 Award in Education & Training or above). Experience preparing learners for End‑Point Assessment methods (Project & Presentation / Professional Discussion). Knowledge of Ofsted requirements and apprenticeship funding rules. Industry certifications (e.g., BCS Data Analysis Tools or Concepts). Working knowledge of AI and machine learning technologies/tools and an understanding of how these developments impact modern data analytics practices. A diverse, inclusive and equitable workforce. As a group, we're committed to broadening the equity, diversity, and inclusion of our workforce and creating a sense of belonging for all. In this way we will better represent those who learn with us and our partners to greater understand and fulfil their needs. By listening to our emerging diverse workforce, we will agree future goals and priorities as a community. This in turn will help secure a sustainable future for the Group, benefiting not just us but also our partners and those who learn with us Your experience is invaluable to us, and we are committed to fostering an inclusive and equitable recruitment environment for all candidates. We welcome any feedback on how we can enhance our approach to an inclusive process, please feel free to share your ideas with us here: Your feedback This feedback is anonymous and will only be used for EDI monitoring and enhancement
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Languages
- English
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